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Architecture & Urban Research Institute

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±â»ç¸í Evaluation of Control Methods of Ice Thermal Storage Systems
ÀúÀÚ¸í Pyeongchan Ihm ; ÀÌ»óÁø
¹ßÇà»ç Çѱ¹»ýȰȯ°æÇÐȸ
¼ö·Ï»çÇ× Çѱ¹»ýȰȯ°æÇÐȸÁö , v.13 n.2(2006-06)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(127) ÃÑÆäÀÌÁö(6)
ISSN 1226-1289
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ÁÖÁ¦¾î ; EnergyPlus ; Ice thermal storage system ; Controller ; Energy savings
¿ä¾à1 The HVAC systems require large amount of electrical energy use to maintain cooling setpoint temperature duringsummertime. Especially, 60% of total energy use in the United States is consumed in operating HVAC systems and plants incommercial buildings during summer. To increase the efficient electrical management ice thermal storage (ITS) systemsoperated during nighttime can reduce the daytime peak electrical demand and expect the electrical energy cost savings in abuilding. The purpose of this research is to investigate the effective control method of ITS systems to achieve the potentialbuilding energy cost savings. Therefore, conventional ITS control strategies including chiller-priority control and ice storage-priority control strategies are compared to optimal ITS control strategy. This research concluded that optimal ITS controlachieve 16% and 27% higher savings that those obtained by chiller-priority and ice storage-priority control, respectively.
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The HVAC systems require large amount of electrical energy use to maintain cooling setpoint temperature duringsummertime. Especially, 60% of total energy use in the United States is consumed in operating HVAC systems and plants incommercial buildings during summer. To increase the efficient electrical management ice thermal storage (ITS) systemsoperated during nighttime can reduce the daytime peak electrical demand and expect the electrical energy cost savings in abuilding. The purpose of this research is to investigate the effective control method of ITS systems to achieve the potentialbuilding energy cost savings. Therefore, conventional ITS control strategies including chiller-priority control and ice storage-priority control strategies are compared to optimal ITS control strategy. This research concluded that optimal ITS controlachieve 16% and 27% higher savings that those obtained by chiller-priority and ice storage-priority control, respectively.